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ArchithSharma/README.md

👋 Hi, I'm Archith Sharma

I'm a developer and researcher interested in data science, predictive modeling, and impactful projects that blend tech with real-world applications. I work with R, Python, TeX, Java, and HTML to build meaningful tools—from sports analytics to elections and ecological data analysis.

🧠 Featured Projects

  • 🏏 CricketPredictions
    Predictive models for T20 cricket outcomes based on player stats, venue factors, and team compositions using R and statistical modeling.

  • 🗳️ TAMS-Mock-Election
    Simulates student elections with interactive voting interfaces and data handling using Python, R, and web technologies.

  • 🐦 Ebird
    Analysis of bird sighting trends using eBird and BBS data, spatial modeling, and ARDL time series—entirely in R.

🛠️ Tools & Languages

  • Languages: R, Python, TeX, HTML/CSS, Java (new projects/languages coming!)
  • Tech: ggplot2, dplyr, Shiny, numpy, scikit-learn, Flask, pandas, LaTeX, Bootstrap
  • Focus Areas: Predictive Modeling, Time Series, Data Visualization, Ecological Informatics, Web Dev

📊 GitHub Stats

Top Languages

📫 Connect With Me


Thanks for visiting—feel free to explore my repos or reach out!

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  1. CricketPredictions CricketPredictions Public

    Predicting T20 International Matches using player and venue impact factors along with regularized logistic regression.

    R 2

  2. TAMS-Mock-Election TAMS-Mock-Election Public

    R 2 1